Perceptual organization approach based on Dempster–Shafer theory

✍ Scribed by P. Vasseur; C. Pegard; E. Mouaddib; L. Delahoche

• Book ID: 104160427
• Publisher: Elsevier Science
• Year: 1999
• Tongue: English
• Weight: 730 KB
• Volume: 32
• Category: Article
• ISSN: 0031-3203
• DOI: 10.1016/s0031-3203(98)00172-1

✦ Synopsis

In this paper, we propose an application of the perceptual organization based on the Dempster}Shafer theory. This method is divided into two parts which respectively recti"es the segmentation mistakes by restoring the coherence of the segments and detects objects in the scene by forming groups of primitives.

We show how we apply the Dempster}Shafer theory, usually used in data fusion, in order to obtain an optimal adequation between the perceptual organization problem and this tool. We show that without any prior knowledge and any threshold, our bottom-up algorithm detects e$ciently the di!erent objects even in cluttered environment. Moreover, we demonstrate its robustness and #exibility on indoor and outdoor scenes without any modi"cation of parameters.